NFL14 Preview

Our NFL preview can be a smash hit one day, as long as we keep working hard and start promoting the product. As we hit our second season here at TABMathletics, we look to put together our best year of work. Last year, the 2013 NFL Preview did a stellar job of projecting changes and predicting outcomes in the 2013 season. Our “Five Factors” of regression accomplished greater than a 90 percent success rate. Meanwhile, our season predictions correctly forecasted all six NFC playoff teams reaching the second season. Then, of course, there was correctly predicting that the Seattle Seahawks would win Super Bowl XLVIII. All told, combine this massive success with Pick’em results that out-performed every mainstream NFL expert, and 2013 was simply a landmark year for TABMathletics.

We have a lot to live up to in 2014.

Therefore, for the upcoming season, we will have the same three stages of analysis we had last season. First, we will look at eight of the biggest league-wide factors for regression. This involves notable trends from the previous season or huge performances by certain teams or players. These big “factors for regression” may involve multiple statistical points that most likely will regress in the upcoming season. Second, we will look at five factors for regression for each NFL team. This will be split into eight days, with each day focusing on one division. Finally, we will give predictions for the upcoming NFL season, complete with a projected win range for each team and a look at who has the favorable playoff match-ups, given the predicted league standings.

We expect this preview to be our best work yet. Once again, we will assess our own work at the end of the season. Enjoy the preview!

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Featured Factors for Regression1: The Seahawks Super-Successful Defense2: The Broncos Historic Offense3: The Manning and Foles Passing Dynamic4: The Bears Elastic Offense and Defense5: The “Minus-7” Regression6: The Chiefs Turnover Turnaround7: The League-Wide Sack Impact8:The Pythagorean Win Differential and the Turnover Impact